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System Identification Using Regular and Quantized Observations by Qi He
System Identification Using Regular and Quantized Observations by Qi He
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System Identification Using Regular and Quantized Observations

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System Identification with Quantized Observations on Hardback by Le Yi Wang Save $50
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Description

​This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.  By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.
Release date Australia
February 8th, 2013
Audience
  • Professional & Vocational
Illustrations
16 Illustrations, color; 1 Illustrations, black and white; XII, 95 p. 17 illus., 16 illus. in color.
Pages
95
Dimensions
156x234x5
ISBN-13
9781461462910
Product ID
20981844

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